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dc.contributor.authorAlbert, F.Y.C.en_US
dc.contributor.authorKoh, S.P.en_US
dc.contributor.authorChen, C.P.en_US
dc.contributor.authorTiong, S.K.en_US
dc.description.abstractThis paper addresses the preliminary new development results of the evolutionary algorithm technique to optimize the formulated problems incorporating the generation cost with emission gas as objective function or constraints. The power generation cost with emission gas are a complex problem which also the major concerns in electric power generation systems in the Environmental or Economic Dispatch Problems (EDP). Thus, due to environmental concern the electrical utilities required to minimize the emission level while optimizing the thermal generating units at a minimum generating cost and hence, satisfying the load demand and the emissions. In this work the electromagnetism-Like algorithm (EML) has been employed for optimizing generation cost and emission constraints economic dispatch problem. The proposed decision analysis tool software in this work will optimize the generation cost with emission gas objective function. The best generation cost with emission gas solution are obtained from different fuel technology via the developed software. © 2016 Penerbit UTM Press. All rights reserved.en_US
dc.relation.ispartofJurnal Teknologi Volume 78, Issue 6-3, 2016, Pages 111-116en_US
dc.titleNew development of analysis tool for optimizing generation cost with gas emission via an electromagnetism like algorithmen_US
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